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RapDev Case Study

Enabling SAIT to reduce MTTR with Modern Observability

Increased visibility to deliver better user experiences for students, educators and administrators
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The Southern Alberta Institute of Technology (SAIT) is a polytechnic institute in Calgary, Alberta, Canada.

Established in 1916, it is Calgary's second-oldest post-secondary institution and Canada's first publicly funded technical institute.SAIT offers more than 110 career programs in technology, trades, and business.

3,000+

Employees

380 million+

CAD Revenue

30,000+

Avg. Registrations/season

12,000+

Students/year

The Challenge

Siloed Visibility Impacting User Experiences

Disparate observability tools characterized SAIT's IT environment, each managed independently by different teams within the organization. This siloed approach hindered collaboration, scalability, and efficiency, making detecting and resolving issues promptly challenging, especially in heavy volume or load-inducing events like open enrollment. Student applications range from managing license keys for desktop applications to gathering data from machines in the labs. 

Manual configuration processes compounded these challenges, increasing operational overhead and delayed response times. SAIT recognized the need to consolidate its monitoring tools, streamline configuration processes, and enhance collaboration to improve overall observability and operational efficiency. At the time of engagement, SAIT’s observability team were seeking to gain actionable insights for issues or critical arising from:

  • 110 hosts
  • 100 million events per month
  • 100 gig logs
  • 20K synthetics

TECHNICAL LANDSCAPE

Navigating Infrastructure Complexity

SAIT's primary concern lay in gaining visibility into its Ellucian Banner ERP systems, while infrastructure and network devices posed secondary concerns. The institution had minimal and siloed observability through  only a few tools like Dynatrace in place, with varying levels of coverage across different systems and departments, with each being monitored and managed individually. SQL servers lacked monitoring altogether, exacerbating visibility gaps. With a large amount of work being manually processed and no configuration management practices or know-how in place, the migration presented an additional perceived risk. 

Operating Systems:

  • Redhat 7 Linux
  • MS SQL

Hosts:

  • Network/Domain/Proxy Hosts
  • Infrastructure Hosts - Student Applications

Existing databases:

  • Oracle databases
  • MS SQL

Existing Logs:

  • Tomcat logs and system logs
  • Custom logs from apps that don’t have APM

Dashboards to be replicated in Datadog:

  • Uptime robot 
  • Nagios
The Results

Empowering SAIT with Enhanced Visibility and Agility

Improve Quality
Improve production code quality by shifting from manual testing to automated testing.
Reduce Time
Reduce the time it takes to deploy code without negatively impacting compliance or risk mitigation.
Co-deploy Implementations
Co-deploy a ServiceNow implementation that continues to drive agility.
Eliminate Delays
Eliminate delays from CAB meetings.

Application Performance Monitoring

  • Integration of Synthetic Testing: RapDev integrated synthetic testing capabilities into Datadog, allowing SAIT to proactively monitor application performance and user experience. Synthetic tests simulated real user interactions, enabling SAIT to identify performance bottlenecks and address issues before they impact end users.
  • Visibility into Ellucian Banner ERP Systems: SAIT gained enhanced visibility into Banner application performance, with comprehensive monitoring from infrastructure to APM requests.
  • Ansible Automation: Ansible automation was enabled for Windows and Linux on-premises development hosts, facilitating the installation of Datadog agents and APM components.
  • Tagging Strategy/Standardization: Automated tagging was implemented across on-premises development hosts, enhancing organization and management.

Infrastructure

  • Automated Deployment Platform: RapDev developed an automated deployment platform to streamline the configuration and provisioning of monitoring agents across SAIT's infrastructure. RapDev built a strong Ansible inventory for  SAIT that has facilitated scaling and reduced manual efforts.
  • Collaborative Workflow: RapDev facilitated collaboration between SAIT's IT teams, providing guidance on best practices for monitoring configuration, alerting, and incident response. RapDev helped SAIT optimize its monitoring workflows and improve cross-team communication by promoting collaboration and knowledge sharing.
  • Monitoring Rollout: RapDev implemented monitoring across infrastructure and application performance management (APM) using Ansible, with logging and synthetics.

Logging

  • Logging Implementation: RapDev setup comprehensive logging capabilities, ensuring that SAIT could collect, search, and analyze log data efficiently. This setup provided SAIT with the necessary insights to troubleshoot and resolve issues faster.
  • Service Level Objective (SLO) Use: While SLOs were not initially utilized, the groundwork was laid for future implementation. The robust logging setup provided a strong foundation for defining and monitoring SLOs in the future.
  • Enhanced Support: Before RapDev's engagement, SAIT's monitoring relied primarily on Nagios alerts and lacked comprehensive visibility. RapDev's logging implementation drastically improved this, giving SAIT a unified view of its IT environment and enhancing support capabilities for internal resources.
  • Integration with Existing Tools: RapDev ensured that the new logging setup was integrated with SAIT's existing tools like Terraform and Ansible, streamlining operations and providing a cohesive monitoring solution.
What's Next

SAIT plans to leverage further Datadog capabilities to drive continual improvement and innovation in its operations. This includes expanding monitoring coverage, refining dashboards for deeper insights, and implementing advanced analytics for proactive issue resolution. By embracing a culture of innovation and collaboration, SAIT aims to stay at the forefront of technological advancements in the education sector.

RapDev's engagement with SAIT exemplifies the transformative power of comprehensive monitoring solutions in addressing operational challenges and driving business success. By deploying Datadog, SAIT has enhanced its visibility, efficiency, and support capabilities and is well-poised for future growth and innovation.

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